Adaptive Histogram Equalization for Detail Enhancement

MATLAB 1019B 220 views 0 downloads 1 credits
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Resource Overview

Adaptive histogram equalization with block-based algorithm, automatically adjusting window size for local enhancement through sliding window implementation.

Detailed Documentation

Detail-enhanced adaptive histogram equalization is a block-based algorithm that automatically adjusts window size for local enhancement. This image processing technique improves detail visibility by processing individual image blocks. Specifically, the algorithm analyzes histogram information from each block and dynamically adapts the window size to perform localized histogram equalization. The implementation typically involves sliding window techniques where contrast limited adaptive histogram equalization (CLAHE) can be applied to prevent over-amplification. This approach maintains overall brightness distribution while enhancing local contrast in detailed regions. Consequently, the algorithm effectively highlights image details without compromising global information, resulting in clearer and more vivid images through controlled contrast enhancement in localized areas.

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